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Bioinformatics for High Throughput Sequencing
The ultimate goal of bioinformatics is to extract biological knowledge out of the large amount of information generated by the scientific community. The chapters compiled in this volume will allow both biologists and computer scientists to understand the significance and potential of this discipline...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2012.
|
| Edición: | 1st ed. 2012. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 245 | 1 | 0 | |a Bioinformatics for High Throughput Sequencing |h [electronic resource] / |c edited by Naiara Rodríguez-Ezpeleta, Michael Hackenberg, Ana M. Aransay. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2012. | |
| 300 | |a XI, 255 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 505 | 0 | |a Preface -- Introduction -- Overview of Sequencing Technology Platforms -- Applications of High Throughput Sequencing -- Computational Infrastructure and Basic Data Analysis for High-Throughput Sequencing -- Base-Calling for Bioinformaticians -- De Novo Short Read Assembly -- Short Read Mapping -- DNA-Protein Interaction Analysis (ChIP-Seq) -- Genome-wide Methylation Maps -- Differential Expression for RNA Sequencing (RNA-seq) Data: Mapping, Summarization, Statistical Analysis and Experimental Design -- MicroRNA Expression Profiling and Discovery -- Dissecting Splicing-Regulatory Network by Integrative Analysis of HITS-CLIP data -- Analysis of Metagenomics Data -- High Throughput Sequencing Data Analysis Software: Current State and Future Developments -- Index. | |
| 520 | |a The ultimate goal of bioinformatics is to extract biological knowledge out of the large amount of information generated by the scientific community. The chapters compiled in this volume will allow both biologists and computer scientists to understand the significance and potential of this discipline in the analysis of high throughput sequencing data. An essential reference book, not only for serving as guideline for the comprehension of the main data analysis steps, but also for providing new insights into existing software and inspiration to develop new applications. | ||
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Medical genetics. | |
| 650 | 0 | |a Medicine-Research. | |
| 650 | 0 | |a Biology-Research. | |
| 650 | 1 | 4 | |a Bioinformatics. |
| 650 | 2 | 4 | |a Medical Genetics. |
| 650 | 2 | 4 | |a Biomedical Research. |
| 700 | 1 | |a Rodríguez-Ezpeleta, Naiara. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Hackenberg, Michael. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Aransay, Ana M. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 776 | 0 | 8 | |i Printed edition: |z 9781461407812 |
| 776 | 0 | 8 | |i Printed edition: |z 9781489998767 |
| 776 | 0 | 8 | |i Printed edition: |z 9781461407836 |
| 776 | 0 | 8 | |i Printed edition: |z 9781493999606 |
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| 950 | |a Biomedical and Life Sciences (SpringerNature-11642) | ||
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